Triple

T2240794
Position Surface form Disambiguated ID Type / Status
Subject Jonny Greenwood E49390 entity
Predicate familyName P18 FINISHED
Object Greenwood
Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
 E250048 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Greenwood | Statement: [Jonny Greenwood, familyName, Greenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenwood
Context triple: [Jonny Greenwood, familyName, Greenwood]
  • A. Greenwood
    Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
  • B. Greenwood
    Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
  • C. Greenwood District
    The Greenwood District is a historic African American neighborhood in Tulsa, Oklahoma, once known as "Black Wall Street" and the site of the 1921 Tulsa Race Massacre.
  • D. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • E. Sugarville
    Sugarville is a small unincorporated community located in rural Millard County in western Utah.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Greenwood
Triple: [Jonny Greenwood, familyName, Greenwood]
Generated description
Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenwood
Target entity description: Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • A. Greenwood
    Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
  • B. Greenwood
    Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
  • C. Greenwood District
    The Greenwood District is a historic African American neighborhood in Tulsa, Oklahoma, once known as "Black Wall Street" and the site of the 1921 Tulsa Race Massacre.
  • D. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • E. Sugarville
    Sugarville is a small unincorporated community located in rural Millard County in western Utah.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0bccf688190bd10202a62fdf34e completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71bfb47881908c93333a9e808420 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae739342108190a14f7640228319ea completed March 9, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69ae74eb89448190895fab4a493c6d08 completed March 9, 2026, 7:21 a.m.
Created at: March 4, 2026, 7:47 p.m.